The i-treasures Intangible Cultural Heritage dataset

N. Grammalidis; K. Dimitropoulos; F. Tsalakanidou; A. Kitsikidis; P. Roussel; B. Denby; P. Chawah; L. Buchman; S. Dupont; S. Laraba; B. Picart; M. Tits; J. Tilmanne; S. Hadjidimitriou; L. Hadjileontiadis; V. Charisis; C. Volioti; A. Stergiaki; A. Manitsaris; O. Bouzos; S. Manitsaris

doi:10.1145/2948910.2948944

The i-treasures Intangible Cultural Heritage dataset

N. Grammalidis, K. Dimitropoulos, F. Tsalakanidou, A. Kitsikidis, P. Roussel, B. Denby, P. Chawah, L. Buchman, S. Dupont, S. Laraba, B. Picart, M. Tits, J. Tilmanne, S. Hadjidimitriou, L. Hadjileontiadis, V. Charisis, C. Volioti, A. Stergiaki, A. Manitsaris, O. BouzosS. Manitsaris

Biomedical Engineering & Biotechnology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Scopus citations

Abstract

In this paper, we introduce the i-Treasures Intangible Cultural Heritage (ICH) dataset, a freely available collection of multimodal data captured from different forms of rare ICH. More specifically, the dataset contains video, audio, depth, motion capture data and other modalities, such as EEG or ultrasound data. It also includes (manual) annotations of data, while in some cases additional features and metadata are provided, extracted using algorithms and modules developed within the i-Treasures project. We describe the creation process (sensors, capture setups and modules used), the dataset content and the associated annotations. An attractive feature of this ICH Database is that it's the first of its kind, providing annotated multimodal data for a wide range of rare ICH types. Finally, some conclusions are drawn and the future development of the dataset is discussed.

Original language	British English
Title of host publication	Proceedings of the 3rd International Symposium on Movement and Computing, MOCO 2016
ISBN (Electronic)	9781450343077
DOIs	https://doi.org/10.1145/2948910.2948944
State	Published - 5 Jul 2016
Event	3rd International Symposium on Movement and Computing, MOCO 2016 - Thessaloniki, Greece Duration: 5 Jul 2016 → 6 Jul 2016

Publication series

Name	ACM International Conference Proceeding Series
Volume	05-06-July-2016

Conference

Conference	3rd International Symposium on Movement and Computing, MOCO 2016
Country/Territory	Greece
City	Thessaloniki
Period	5/07/16 → 6/07/16

Keywords

Intangible cultural heritage
Multimodal capture

Access to Document

10.1145/2948910.2948944

Cite this

Grammalidis, N., Dimitropoulos, K., Tsalakanidou, F., Kitsikidis, A., Roussel, P., Denby, B., Chawah, P., Buchman, L., Dupont, S., Laraba, S., Picart, B., Tits, M., Tilmanne, J., Hadjidimitriou, S., Hadjileontiadis, L., Charisis, V., Volioti, C., Stergiaki, A., Manitsaris, A., ... Manitsaris, S. (2016). The i-treasures Intangible Cultural Heritage dataset. In Proceedings of the 3rd International Symposium on Movement and Computing, MOCO 2016 Article 23 (ACM International Conference Proceeding Series; Vol. 05-06-July-2016). https://doi.org/10.1145/2948910.2948944

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title = "The i-treasures Intangible Cultural Heritage dataset",

abstract = "In this paper, we introduce the i-Treasures Intangible Cultural Heritage (ICH) dataset, a freely available collection of multimodal data captured from different forms of rare ICH. More specifically, the dataset contains video, audio, depth, motion capture data and other modalities, such as EEG or ultrasound data. It also includes (manual) annotations of data, while in some cases additional features and metadata are provided, extracted using algorithms and modules developed within the i-Treasures project. We describe the creation process (sensors, capture setups and modules used), the dataset content and the associated annotations. An attractive feature of this ICH Database is that it's the first of its kind, providing annotated multimodal data for a wide range of rare ICH types. Finally, some conclusions are drawn and the future development of the dataset is discussed.",

keywords = "Intangible cultural heritage, Multimodal capture",

author = "N. Grammalidis and K. Dimitropoulos and F. Tsalakanidou and A. Kitsikidis and P. Roussel and B. Denby and P. Chawah and L. Buchman and S. Dupont and S. Laraba and B. Picart and M. Tits and J. Tilmanne and S. Hadjidimitriou and L. Hadjileontiadis and V. Charisis and C. Volioti and A. Stergiaki and A. Manitsaris and O. Bouzos and S. Manitsaris",

note = "Publisher Copyright: {\textcopyright} 2016 ACM.; 3rd International Symposium on Movement and Computing, MOCO 2016 ; Conference date: 05-07-2016 Through 06-07-2016",

year = "2016",

month = jul,

day = "5",

doi = "10.1145/2948910.2948944",

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Grammalidis, N, Dimitropoulos, K, Tsalakanidou, F, Kitsikidis, A, Roussel, P, Denby, B, Chawah, P, Buchman, L, Dupont, S, Laraba, S, Picart, B, Tits, M, Tilmanne, J, Hadjidimitriou, S, Hadjileontiadis, L, Charisis, V, Volioti, C, Stergiaki, A, Manitsaris, A, Bouzos, O & Manitsaris, S 2016, The i-treasures Intangible Cultural Heritage dataset. in Proceedings of the 3rd International Symposium on Movement and Computing, MOCO 2016., 23, ACM International Conference Proceeding Series, vol. 05-06-July-2016, 3rd International Symposium on Movement and Computing, MOCO 2016, Thessaloniki, Greece, 5/07/16. https://doi.org/10.1145/2948910.2948944

The i-treasures Intangible Cultural Heritage dataset. / Grammalidis, N.; Dimitropoulos, K.; Tsalakanidou, F. et al.
Proceedings of the 3rd International Symposium on Movement and Computing, MOCO 2016. 2016. 23 (ACM International Conference Proceeding Series; Vol. 05-06-July-2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Roussel, P.

AU - Denby, B.

AU - Chawah, P.

AU - Buchman, L.

AU - Dupont, S.

AU - Laraba, S.

AU - Picart, B.

AU - Tits, M.

AU - Tilmanne, J.

AU - Hadjidimitriou, S.

AU - Hadjileontiadis, L.

AU - Charisis, V.

AU - Volioti, C.

AU - Stergiaki, A.

AU - Manitsaris, A.

AU - Bouzos, O.

AU - Manitsaris, S.

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N2 - In this paper, we introduce the i-Treasures Intangible Cultural Heritage (ICH) dataset, a freely available collection of multimodal data captured from different forms of rare ICH. More specifically, the dataset contains video, audio, depth, motion capture data and other modalities, such as EEG or ultrasound data. It also includes (manual) annotations of data, while in some cases additional features and metadata are provided, extracted using algorithms and modules developed within the i-Treasures project. We describe the creation process (sensors, capture setups and modules used), the dataset content and the associated annotations. An attractive feature of this ICH Database is that it's the first of its kind, providing annotated multimodal data for a wide range of rare ICH types. Finally, some conclusions are drawn and the future development of the dataset is discussed.

AB - In this paper, we introduce the i-Treasures Intangible Cultural Heritage (ICH) dataset, a freely available collection of multimodal data captured from different forms of rare ICH. More specifically, the dataset contains video, audio, depth, motion capture data and other modalities, such as EEG or ultrasound data. It also includes (manual) annotations of data, while in some cases additional features and metadata are provided, extracted using algorithms and modules developed within the i-Treasures project. We describe the creation process (sensors, capture setups and modules used), the dataset content and the associated annotations. An attractive feature of this ICH Database is that it's the first of its kind, providing annotated multimodal data for a wide range of rare ICH types. Finally, some conclusions are drawn and the future development of the dataset is discussed.

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M3 - Conference contribution

AN - SCOPUS:84979737357

T3 - ACM International Conference Proceeding Series

BT - Proceedings of the 3rd International Symposium on Movement and Computing, MOCO 2016

T2 - 3rd International Symposium on Movement and Computing, MOCO 2016

Y2 - 5 July 2016 through 6 July 2016

ER -

The i-treasures Intangible Cultural Heritage dataset

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Keywords

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